Abstract
The fatigue of the pedaling exercise was studied in order to establish a fatigue analysis and evaluation model of the human pedaling. Twelve subjects participated in the pedaling test and the subjects completed six types of pedaling tasks at frequencies of 20, 30, 40, 50, and 60 times/min. Subjective fatigue, ECG signals, and surface EMG signals of subjects were measured. Principal component analysis (PCA) was used to extract the important indicators related to fatigue in sEMG signals and ECG signals, and the sEMG signal and ECG signal fatigue evaluation index were combined with the subjective fatigue evaluation data to establish the radial basis model of fatigue evaluation. The model based verification results show that the radial basis model has good accuracy and can effectively evaluate the pedaling fatigue.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yuan, Y.C., Wan, L.H., et al.: Principles of rehabilitation for common chronic neurologic diseases in the elderly. J. Clin. Gerontol. Geriatr. 3, 5–13 (2012)
Usama, J.N.: Artificial intelligence methods to estimate muscle force and muscle fatigue in human arm based on EMG signal. Huazhong University of Science & Technology, Wuhan, China (2013)
Kahl, L., Hofmann, U.G.: Comparison of algorithms to quantify muscle fatigue in upper limb muscles based on sEMG signals. Med. Eng. Phys. 38(11), 1260–1269 (2016)
Zhuang, J.J., Huang, X.L., Ning, X.B., et al.: Spectral analysis of heart rate variability applied in the exercise of professional shooting athletes. In: The 7th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE, Beijing, China, pp. 326–328 (2008)
Kiryu, T., Motomiya, N., Ushiyama, Y., et al.: Snapshot evaluation of fatigue during skiing exercise. In: Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS, Hong Kong, China, pp. 2775–2778 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, Z., Yu, X., Zhou, Q. (2019). The Characteristics and Modeling of the Surface Electromyography and Electrocardiogram of Human Fatigue During Pedaling. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-23528-4_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-23528-4_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23527-7
Online ISBN: 978-3-030-23528-4
eBook Packages: Computer ScienceComputer Science (R0)